Word completion in a handheld electronic device

ABSTRACT

A method for enabling generation of text on a handheld electronic device which has a plurality of input members, at least some of which have a number of linguistic elements assigned thereto, and a memory having language objects stored therein. The method comprises enabling detection of a number of input member actuations corresponding with an ambiguous input, making at least one of a determination that the number of actuations exceeds a first threshold and a determination that a quantity of predicted language objects corresponding with the ambiguous input is less than a second threshold, generating prefix objects corresponding with the ambiguous input and predicted language objects corresponding with the ambiguous input, each predicted language object comprising a prefix object portion and a completion portion, and providing at a text input location an output comprising a prefix object and a completion portion of a first predicted language object.

BACKGROUND

1. Field

The disclosure relates generally to handheld electronic devices and,more particularly, to an improved method of inputting text on a handheldelectronic device.

2. Background Information

Numerous types of handheld electronic devices are known. Examples ofsuch handheld electronic devices include, for instance, personal dataassistants (PDAs), handheld computers, two-way pagers, cellulartelephones, and the like. Although some handheld electronic devices arestand-alone devices, many feature wireless communication capability forcommunication with other devices.

Such handheld electronic devices are generally intended to be portable,and thus are of a relatively compact configuration in which keys andother input structures often perform multiple functions under certaincircumstances or may otherwise have multiple aspects or featuresassigned thereto. With advances in technology, handheld electronicdevices are built to have progressively smaller form factors yet haveprogressively greater numbers of applications and features residentthereon. As a practical matter, the keys of a keypad can only be reducedto a certain small size before the keys become relatively unusable. Inorder to enable text entry, however, a keypad must be capable ofentering all twenty-six letters of the Latin alphabet, for instance, aswell as appropriate punctuation and other symbols.

One way of providing numerous letters in a small space has been toprovide a “reduced keyboard” in which multiple letters, symbols, and/ordigits, and the like, are assigned to any given key. For example, atouch-tone telephone includes a reduced keypad by providing twelve keys,of which ten have digits thereon, and of these ten keys eight have Latinletters assigned thereto. For instance, one of the keys includes thedigit “2” as well as the letters “A”, “B”, and “C”. Other known reducedkeyboards have included other arrangements of keys, letters, symbols,digits, and the like. Since a single actuation of such a key potentiallycould be intended by the user to refer to any of the letters “A”, “B”,and “C”, and potentially could also be intended to refer to the digit“2”, the input generally is an ambiguous input and is in need of sometype of disambiguation in order to be useful for text entry purposes.

In order to enable a user to make use of the multiple letters, digits,and the like on any given key, numerous keystroke interpretation systemshave been provided. For instance, a “multi-tap” system allows a user tosubstantially unambiguously specify a particular character on a key bypressing the same key a number of times equivalent to the position ofthe desired character on the key. For example, on the aforementionedtelephone key that includes the letters “ABC”, and the user desires tospecify the letter “C”, the user will press the key three times. Whilesuch multi-tap systems have been generally effective for their intendedpurposes, they nevertheless can require a relatively large number of keyinputs compared with the number of characters that ultimately areoutput.

Another exemplary keystroke interpretation system would include keychording, of which various types exist. For instance, a particularcharacter can be entered by pressing two keys in succession or bypressing and holding first key while pressing a second key. Stillanother exemplary keystroke interpretation system would be a“press-and-hold/press-and-release” interpretation function in which agiven key provides a first result if the key is pressed and immediatelyreleased, and provides a second result if the key is pressed and heldfor a short period of time. While the systems have likewise beengenerally effective for their intended purposes, such systems also havetheir own unique drawbacks.

Another keystroke interpretation system that has been employed is asoftware-based text disambiguation function. In such a system, a usertypically presses keys to which one or more characters have beenassigned, generally pressing each key one time for each desired letter,and the disambiguation software attempts to determine the intendedinput. More specifically, the disambiguation software produces a list ofsuggested prefix objects that the user may select while typing amessage. Typically, after selecting one of the suggested prefix objects,the user must press additional keys to enter the remaining charactersneeded to complete the desired word.

It would be desirable to provide an improved handheld electronic devicewith a reduced keyboard that seeks to mimic a QWERTY keyboard experienceor other particular keyboard experience. Such an improved handheldelectronic device might also desirably be configured with enoughfeatures to enable text entry and other tasks with relative ease. Morespecifically, it would be desirable for such an improved handheldelectronic device to have improved text entry capabilities.

BRIEF DESCRIPTION OF THE DRAWINGS

A full understanding can be gained from the following Description of thePreferred Embodiment when read in conjunction with the accompanyingdrawings in which:

FIG. 1 is a top plan view of an improved handheld electronic device.

FIG. 2 is a schematic depiction of the handheld electronic device ofFIG. 1.

FIG. 3 is an exemplary output during a text entry operation.

FIG. 4 is another exemplary output during another part of the text entryoperation.

FIG. 5 is another exemplary output during another part of the text entryoperation.

FIG. 6 is another exemplary output during another part of the text entryoperation.

FIG. 7 is another exemplary output during another part of the text entryoperation.

FIG. 8 is another exemplary output during another part of the text entryoperation.

FIG. 9 is an exemplary flowchart depicting certain aspects of thedisambiguation and predictive text functions that can be executed on thehandheld electronic device of FIG. 1 according to one embodiment.

FIG. 10 is an exemplary flowchart depicting certain aspects of thedisambiguation and predictive text functions that can be executed on thehandheld electronic device of FIG. 1 according to another embodiment.

FIG. 11 is an exemplary flowchart depicting certain aspects of thedisambiguation and predictive text functions that can be executed on thehandheld electronic device of FIG. 1 according to another embodiment.

Similar numerals refer to similar parts throughout the specification.

DESCRIPTION OF THE PREFERRED EMBODIMENT

An improved handheld electronic device 4 is indicated generally in FIG.1 and is depicted schematically in FIG. 2. The exemplary handheldelectronic device 4 includes a housing 6 upon which is disposed aprocessor unit that includes an input apparatus 8, an output apparatus12, a processor 16, and a memory 20 for storing at least a first routine22. The processor 16 may be, for instance, and without limitation, amicroprocessor (μP) and is responsive to input signals from the inputapparatus 8 and provides output signals to the output apparatus 12. Theprocessor 16 also interfaces with the memory 20 and is capable ofexecuting the at least first routine 22. Examples of handheld electronicdevices are included in U.S. Pat. No. 6,452,588, U.S. Pat. No.6,873,317, and U.S. Pat. No. 6,489,950, which are incorporated byreference herein.

As can be understood from FIG. 1, the output apparatus 12 includes adisplay 60, an LED 15, and a speaker 14, each of which may be responsiveto one or more output signals from the processor 16. The input apparatus8 includes a keypad 24 and a thumbwheel 32. The keypad 24 is in theexemplary form of a full QWERTY keyboard including a plurality of keys28 that serve as input members. The keys 28 are disposed on a front faceof the housing 6, and the thumbwheel 32 is disposed at a side of thehousing 6. The thumbwheel 32 can serve as another input member and isboth rotatable, as is indicated by the arrow 34, to provide input to theprocessor 16, and also can travel in a direction generally toward thehousing 6, as is indicated by the arrow 38, to provide other input tothe processor 16.

Many of the keys 28 include a number of linguistic elements 48 disposedthereon. As employed herein, the expression “a number of” and variationsthereof shall refer broadly to any non-zero quantity, including aquantity of one. As can be seen in FIG. 1, one of the keys 28 of thekeypad 24 includes as the linguistic elements 48 thereof the letter “O”and the letter “P”. Generally speaking, the handheld electronic device 4is structured such that the processor 16 recognizes, as an inputthereof, one of the number of linguistic elements 48 disposed on anactuated key 28. For example, when a user is composing a message andactuates the key 28 having the linguistic elements 48 “O” and “P”disposed thereon, the processor 16 is structured to recognize that theuser is attempting to insert the letter “O” or the letter “P” into themessage.

The memory 20 can be any one or more of a variety of types of internaland/or external storage media such as, without limitation, RAM, ROM,EPROM(s), EEPROM(s), and the like that provide a storage register fordata storage such as in the fashion of an internal storage area of acomputer, and can be volatile memory or nonvolatile memory. The memory20 includes a number of routines depicted generally with the numeral 22for the processing of data. The routines 22 can be in any of a varietyof forms such as, without limitation, software, firmware, and the like.As will be explained in greater detail below, the routines 22 include adisambiguation application and a predictive text application, as well asother routines.

An exemplary input sequence is depicted in FIGS. 3-8. In this example,the user is in the process of entering the message “I am having mycarpet cleaned tomorrow” (See FIG. 8). Referring briefly to FIG. 3, thewords “I am having my” have been output as a text component 68 ondisplay 60. Each word (e.g., “I”, “am”, “having”, and “my”) represents adelimited input as is generally know. As seen in FIG. 3, the user hasalso actuated the key 28 having the linguistic elements <C> and <V>disposed thereon. As a result, the disambiguation application 22generates a first prefix object “C” as well as another prefix object“V”. Each prefix object is associated with a frequency object. In thecurrent embodiment, the frequency object associated with the prefixobject “C” has a frequency value greater than that of the frequencyobject associated with prefix object “V”. Thus, the prefix object “C” isprovided at a text input location 69.

Additionally, the disambiguation application generates a variantcomponent 72 comprised of a default portion 76, a variant portion 80,and a functional portion 46. In the current embodiment, the prefixobject located at the default portion 76 is the same as the prefixobject displayed at the text input location 69 (i.e., the prefix object“C”). In the current embodiment, the functional portion 46 allows, forexample, the user to scroll to view additional prefix objects should thenumber of prefix objects returned by the disambiguation applicationexceed the display space available in the variant component 72.

In the current embodiment, the number of actuations detected by theprocessor 16 (e.g., after a delimited input) is compared to a firstthreshold value. If the number of actuations detected is less than thefirst threshold, the predictive text application is not executed by theprocessor 16. However, if the number of actuations detected is greaterthan or equal to the first threshold, the predictive text applicationmay be executed by the processor 16.

In the current embodiment, for example, the first threshold is set attwo. As seen in FIG. 3, because only one input member actuation has thusfar been detected (i.e., the actuation of the key 28 having linguisticelements <C> and <V> disposed thereon) after the last delimited input(e.g., the keystroke sequence <m><y><space>), the predictive textapplication is not executed by the processor 16.

Referring now to FIG. 4, the user has actuated the key 28 having thelinguistic elements <A> and <S> disposed thereon. As a result, thedisambiguation application 22 generates the prefix object “CA” at thedefault portion 76 and the prefix objects “VA”, “CS”, and “VS” at thevariant portion 80. The prefix object “CA” is also provided as an outputat the text input location 69. Because the number of input memberactuations thus far detected is greater than or equal to the firstthreshold (i.e., two), a determination is made as to whether the numberof predicted words corresponding to the detected input member actuationsis less than a second threshold. The second threshold prevents thepredictive text application from running should a large number ofpredicted language objects correspond to the detected input. In thecurrent example, the second threshold is selected such that thepredictive text application is not executed by the processor 16 for thedetected input because the detected input corresponds to a large numberof predicted words (i.e., a large number of predicted words begin withthe letters “ca”, “va”, “cs”, and “vs”).

Referring now to FIG. 5, the user has actuated the key 28 having thelinguistic elements <E> and <R> disposed thereon. As a result, thedisambiguation application 22 generates the prefix object “CAR” at thedefault portion 76 and the prefix object “VAR” at the variant portion80. The prefix object “CAR” is also provided as an output at the textinput location 69. Because the number of input member actuationsdetected is greater than the first threshold and the number of predictedwords is less than the second threshold, the predictive text applicationis executed by the processor 16. The predictive text applicationgenerates a number of predicted language objects each having a frequencyobject associated therewith. As shown in FIG. 5, for example, thepredictive text application generates the predicted language objects“carpenter”, “carpet”, “various”, and “variable”. Each predictedlanguage object is comprised of a prefix object portion and a completionportion. For instance, the predicted language object “carpenter” iscomprised of the prefix object portion “car” and the completion portion“penter”; the predicted language object “carpet” is comprised of theprefix object portion “car” and the completion portion “pet”; thepredicted language object “various” is comprised of the prefix objectportion “var” and the completion portion “ious”; and the predictedlanguage object “variable” is comprised of the prefix object portion“var” and the completion portion “iable”.

In the current embodiment, the completion portion of a first predictivelanguage object is provided at the text input location 69. As shown inFIG. 5, the completion portion “penter” from the predicted languageobject “carpenter” is provided at the text input location 69 in adifferent font type (e.g., backlit). The user is able, among others, toselect the prefix object “car”, select the predicted word “carpenter”,select one of the prefix objects or predicted words listed in thevariant portion 80, or continue text entry. More specifically, the usercan highlight a desired object/word by, among others, positioning acursor at the desired object/word and select the desired object/word by,among others, actuating the thumbwheel, pressing the space key, pressingthe return key, and/or dwelling at the word for a certain amount oftime.

Referring now to FIG. 6, the user has actuated the key 28 having thelinguistic elements <O> and <P> disposed thereon. As a result, thedisambiguation application 22 generates the prefix object “CARP” at thedefault portion 76 and the prefix object “CARO” at the variant portion80. The prefix object “CARP” is also provided as an output at the textinput location 69. Because the number of input member actuationsdetected is greater than the first threshold and the number of predictedwords is less than the second threshold, the predictive text applicationgenerates a number of additional predicted language objects. As shown inFIG. 6, for example, the predictive text application generates theadditional predicted language objects “carpet”, “carpenter”, “carpets”,“carpetbag”, and “carotid”. Each additional predicted language object isalso comprised of a prefix object portion and a completion portion.

In the current embodiment, the completion portion of a first predictivelanguage object is provided at the text input location 69 in a differentfont type (e.g., backlit). As shown in FIG. 6, the completion portion“pet” from the predicted language object “carpet” is provided at thetext input location 69. The user is able, among others, to select theprefix object “carp”, select the predicted word “carpet”, select one ofthe prefix objects or predicted words listed in the variant portion 80,or continue text entry.

It should be noted that even though the predicted language object“carpenter” has an associated frequency object that is greater than thefrequency object associated with the predicted language object “carpet”,the completion portion “pet” for the predicted language object “carpet”is provided as an output at the text input location 69 in FIG. 6. Thisis because an assumption is made that the user, who could have selectedthe predicted language object “carpenter” when the completion portion“penter” was provided as an output at the text input location 69 (i.e.,FIG. 6), does not wish to enter the word “carpenter” in the text inputlocation 69.

As discussed above, the user desires to enter the word “carpet” in hismessage. Accordingly, the user highlights and/or selects the completionportion “et” of the predicted language object “carpet” in the text inputlocation 69. The word may be highlighted by, among others, positioning acursor at the desired word and selected by, among others, actuating thethumbwheel, pressing the space key, pressing the return key, and/ordwelling at the word for a certain amount of time. Referring to FIG. 7,the word “carpet” (a delimited input) is displayed at the text component68 and the text input location is blank (e.g., only a cursor ispresent). FIG. 8 illustrates the full message input by the user in thecurrent example.

FIG. 9 illustrates an operational process 30 for generating text on thehandheld electronic device 4 shown in FIG. 1 according to oneembodiment. Operational process 30 is initiated at operation 31 when,for example, processor 16 detects the actuation of a number of inputmembers, such as and without limitation, keys 28 and/or thumbwheel 32.

A determination is then made at operation 32 as to whether the number ofactuations detected is greater than a first threshold. If the number ofactuations detected is less than a first threshold, operational controlbranches “NO” and operation 33 generates a number of prefix objectscorresponding with the ambiguous input. After the prefix objects aregenerated, at least one prefix object is output, for example, to a textinput location 69 of the display 60 in operation 34.

If the number of actuations detected is greater than a first threshold,then operational control branches “YES” and operation 35 generates anumber of prefix objects corresponding with the ambiguous input and anumber of predicted language objects corresponding to the ambiguousinput. Each predicted language object is comprised of a prefix objectportion and a completion portion. After the prefix objects and predictedlanguage objects are generated, at least one prefix object and a portionof one of the predicted language objects is output in operation 36. Inthe current embodiment, for example, at least one prefix object and thecompletion portion of one predicted language object is output to thetext input location 69 of the display 60. It should be noted that, inthe current embodiment, the processor 16 only provides at the text inputlocation the completion portion of a predicted language object which hasa prefix object portion that is the same as the prefix object beingoutput at the text input location.

FIG. 10 illustrates an operational process 30′ for generating text onthe handheld electronic device 4 shown in FIG. 1 according to anotherembodiment. Operational process 30′ is initiated at operation 31 when,for example, processor 16 detects the actuation of a number of inputmembers, such as and without limitation, keys 28 and/or thumbwheel 32.

A determination is then made at operation 32 a as to whether the numberof corresponding predicted words is less than a second threshold. If thenumber of corresponding predicted words is not less than the secondthreshold, operational control branches “NO” and operation 33 generatesa number of prefix objects corresponding with the ambiguous input. Afterthe prefix objects are generated, at least one prefix object is output,for example, to a text input location 69 of the display 60 in operation34.

If the number of corresponding predicted words is less than the secondthreshold, then operational control branches “YES” and operation 35generates a number of prefix objects corresponding with the ambiguousinput and a number of predicted language objects corresponding to theambiguous input. Each predicted language object is comprised of a prefixobject portion and a completion portion. After the prefix objects andpredicted language objects are generated, at least one prefix object anda portion of one of the predicted language objects is output inoperation 36. In the current embodiment, for example, at least oneprefix object and the completion portion of one predicted languageobject is output to the text input location 69 of the display 60. Itshould be noted that, in the current embodiment, the processor 16 onlyprovides at the text input location 69 the completion portion of apredicted language object which has a prefix object portion that is thesame as the prefix object being output at the text input location.

FIG. 11 illustrates an operational process 30″ for generating text onthe handheld electronic device 4 shown in FIG. 1 according to anotherembodiment. Operational process 30″ is initiated at operation 31 when,for example, processor 16 detects the actuation of a number of inputmembers, such as and without limitation, keys 28 and/or thumbwheel 32.

A determination is then made at operation 32 as to whether the number ofactuations detected is greater than a first threshold. If the number ofactuations detected is less than a first threshold, operational controlbranches “NO” and operation 33 generates a number of prefix objectscorresponding with the ambiguous input. After the prefix objects aregenerated, at least one prefix object is output, for example, to a textinput location 69 of the display 60 in operation 34.

If the number of actuations detected is greater than a first threshold,then operational control branches “YES” and a determination is made atoperation 32 a as to whether the number of corresponding predicted wordsis less than a second threshold. If the number of correspondingpredicted words is not less than the second threshold, operationalcontrol branches “NO” and operation 33 generates a number of prefixobjects corresponding with the ambiguous input. As discussed above,after the prefix objects are generated, at least one prefix object isoutput, for example, to a text input location 69 of the display 60 inoperation 34.

If the number of corresponding predicted words is less than the secondthreshold, then operational control branches “YES” and operation 35generates a number of prefix objects corresponding with the ambiguousinput and a number of predicted language objects corresponding to theambiguous input. Each predicted language object is comprised of a prefixobject portion and a completion portion. After the prefix objects andpredicted language objects are generated, at least one prefix object anda portion of one of the predicted language objects is output inoperation 36. In the current embodiment, for example, at least oneprefix object and the completion portion of one predicted languageobject is output to the text input location 69 of the display 60. Itshould be noted that, in the current embodiment, the processor 16 onlyprovides at the text input location 69 the completion portion of apredicted language object which has a prefix object portion that is thesame as the prefix object being output at the text input location.

While specific embodiments have been described in detail, it will beappreciated by those skilled in the art that various modifications andalternatives to those details could be developed in light of the overallteachings of the disclosure. Accordingly, the particular arrangementsdisclosed are meant to be illustrative only and not limiting as to thescope of the disclosed and claimed concept which is to be given the fullbreadth of the claims appended and any and all equivalents thereof.

1. A method for enabling generation of text on a handheld electronicdevice, said handheld electronic device comprising a plurality of inputmembers and a memory, at least some of the input members each having anumber of linguistic elements assigned thereto and the memory having aplurality of language objects stored therein, the method comprising:enabling detection of a number of input member actuations correspondingwith an ambiguous input; making at least one of a determination thatsaid number of input member actuations exceeds a first threshold, and adetermination that a quantity of predicted language objectscorresponding with said ambiguous input is less than a second threshold;generating a number of prefix objects corresponding with said ambiguousinput and a number of predicted language objects corresponding with saidambiguous input, each predicted language object comprising a prefixobject portion and a completion portion; and providing at a text inputlocation an output comprising a prefix object and a completion portionof a first predicted language object.
 2. The method of claim 1, furthercomprising: providing at a variant component location an outputcomprising at least some of said prefix objects; enabling detection of aselection of one of said at least some of said prefix objects; andresponsive to said selection, removing from said text input location thecompletion portion of said first predicted language object.
 3. Themethod of claim 1, further comprising: enabling detection of a selectionof at least one of said prefix object portion of said first predictedlanguage object, said completion portion of said first predictedlanguage object, and said first predicted language object; andresponsive to said selection, at least one of inserting said firstpredicted language object into said text input location, and insertingsaid prefix object and said completion portion of said first predictedlanguage object into said text output location.
 4. The method of claim1, further comprising: providing at a variant component location anoutput comprising at least some of prefix objects and at least some ofsaid predicted language objects.
 5. The method of claim 4, furthercomprising: enabling selection of at least one of a particular prefixobject and a particular predicted language object provided at saidvariant component location; and providing at said text input location anoutput comprising said one of a particular prefix object and saidparticular predicted language object.
 6. The method of claim 1, furthercomprising: detecting an additional input member actuation as a furtherambiguous input; generating a number of additional prefix objectscorresponding with said ambiguous input and said further ambiguousinput; generating a number of additional predicted language objectscorresponding with said ambiguous input and said further ambiguousinput; and providing at the text input location an output comprising anadditional prefix object and an additional completion portion of asecond predicted language object, said second predicted language objectbeing different than said first predicted language object.
 7. The methodof claim 1, wherein said making comprises only making one of adetermination that said number of input member actuations exceeds afirst threshold, and a determination that a quantity of predictedlanguage objects corresponding with said ambiguous input is less than asecond threshold.
 8. The method of claim 1, wherein said makingcomprises both making a determination that said number of input memberactuations exceeds a first threshold and making a determination that aquantity of predicted language objects corresponding with said ambiguousinput is less than a second threshold.
 9. A handheld electronic devicecomprising: a processor unit comprising a processor, an input apparatus,an output apparatus, and a memory having a routine stored therein, theprocessor unit being structured to: detect of a number of input memberactuations corresponding with an ambiguous input; make at least one of adetermination that said number of input member actuations exceeds afirst threshold, and a determination that a quantity of predictedlanguage objects corresponding with said ambiguous input is less than asecond threshold; generate a number of prefix objects corresponding withsaid ambiguous input and a number of predicted language objectscorresponding with said ambiguous input, each predicted language objectcomprising a prefix object portion and a completion portion; and provideat a text input location an output comprising a prefix object and acompletion portion of a first predicted language object.
 10. Thehandheld electronic device of claim 9 wherein said processor unit isfurther structured to provide at a variant component location an outputcomprising at least some of said prefix objects; detect a selection ofone of said at least some of said prefix objects; and responsive to saidselection, remove from said text input location the completion portionof said first predicted language object.
 11. The handheld electronicdevice of claim 9, wherein said processor unit is further structureddetect a selection of at least one of said prefix object portion of saidfirst predicted language object, said completion portion said firstpredicted language object, and said first predicted language object; andresponsive to said selection, at least one of insert said firstpredicted language object into said text input location, and insert saidprefix object and said completion portion of said first predictedlanguage object into said text output location.
 12. The handheldelectronic device of claim 9 wherein said processor unit is furtherstructured to provide at a variant component location, an outputcomprising at least some of prefix objects and at least some of saidpredicted language objects.
 13. The handheld electronic device of claim12 wherein said processor unit is further structured to: enableselection of at least one of a particular prefix object and a particularpredicted language object provided at said variant component location;and provide at said text input location an output comprising said one ofa particular prefix object and said particular predicted languageobject.
 14. The handheld electronic device of claim 9 wherein saidprocessor unit is further structured to: detect an additional inputmember actuation as a further ambiguous input; generate a number ofadditional prefix objects corresponding with said ambiguous input andsaid further ambiguous input; generate a number of additional predictedlanguage objects corresponding with said ambiguous input and saidfurther ambiguous input; and provide at the text input location anoutput comprising an additional prefix object and an additionalcompletion portion of a second predicted language object, said secondpredicted language object being different than said first predictedlanguage object.
 15. The handheld electronic device of claim 9 whereinsaid processor unit is further structured to make as said at least onedetermination, only a determination that said number of input memberactuations exceeds a first threshold.
 16. The handheld electronic deviceof claim 9 wherein said processor unit is further structured to make assaid at least one determination, only a determination that a quantity ofpredicted language objects corresponding with said ambiguous input isless than a second threshold.
 17. The handheld electronic device ofclaim 9 wherein said processor unit is further structured to make assaid at least one determination, both a determination that said numberof input member actuations exceeds a first threshold, and adetermination that a quantity of predicted language objectscorresponding with said ambiguous input is less than a second threshold18. A method for enabling generation of text on a handheld electronicdevice, the method comprising: enabling detection of an inputrepresenting a number of linguistic elements; making at least one of adetermination that a number of linguistic elements exceeds a firstpredetermined threshold, and a determination that a quantity ofpredicted language objects associated with said input is less than asecond predetermined threshold; generating a number of predictedlanguage objects associated with said input, each of said predictedlanguage objects including a prefix portion and a completion portion,wherein said prefix portion corresponds with said detected number oflinguistic elements; and providing at a text input location an outputhaving both said number of linguistic elements represented by said inputand the completion portion of one of said predicted language objects.19. The method of claim 18, further comprising: enabling selection ofthe completion portion of said one of said predicted language objects;and responsive to said selection, inserting said one of said predictedlanguage objects into said text output location.
 20. The method of claim18, further comprising: detecting a further input of at least one otherlinguistic element; generating a second number of predicted languageobjects associated with said input and said further input; and providingat a text input location an output having both the completion portion ofone of said second number of predicted language objects and said numberof linguistic elements represented by said input and said further input.